com.amazonaws.services.forecast.model

Class Metrics

java.lang.Object

com.amazonaws.services.forecast.model.Metrics

All Implemented Interfaces:

StructuredPojo, Serializable, Cloneable

@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class Metrics
extends Object
implements Serializable, Cloneable, StructuredPojo

Provides metrics used to evaluate the performance of a predictor. This object is part of the WindowSummary object.

See Also:

AWS API Documentation, Serialized Form

Constructor Summary

Constructors

Constructor and Description
Metrics()

Method Summary

Modifier and Type	Method and Description
Metrics	clone()
boolean	equals(Object obj)
Double	getRMSE() The root mean square error (RMSE).
List<WeightedQuantileLoss>	getWeightedQuantileLosses() An array of weighted quantile losses.
int	hashCode()
void	marshall(ProtocolMarshaller protocolMarshaller) Marshalls this structured data using the given ProtocolMarshaller.
void	setRMSE(Double rMSE) The root mean square error (RMSE).
void	setWeightedQuantileLosses(Collection<WeightedQuantileLoss> weightedQuantileLosses) An array of weighted quantile losses.
String	toString() Returns a string representation of this object.
Metrics	withRMSE(Double rMSE) The root mean square error (RMSE).
Metrics	withWeightedQuantileLosses(Collection<WeightedQuantileLoss> weightedQuantileLosses) An array of weighted quantile losses.
Metrics	withWeightedQuantileLosses(WeightedQuantileLoss... weightedQuantileLosses) An array of weighted quantile losses.

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

Metrics

public Metrics()

Method Detail

setRMSE

public void setRMSE(Double rMSE)

The root mean square error (RMSE).

Parameters:

rMSE - The root mean square error (RMSE).

getRMSE

public Double getRMSE()

The root mean square error (RMSE).

Returns:

The root mean square error (RMSE).

withRMSE

public Metrics withRMSE(Double rMSE)

The root mean square error (RMSE).

Parameters:

rMSE - The root mean square error (RMSE).

Returns:

Returns a reference to this object so that method calls can be chained together.

getWeightedQuantileLosses

public List<WeightedQuantileLoss> getWeightedQuantileLosses()

An array of weighted quantile losses. Quantiles divide a probability distribution into regions of equal probability. The distribution in this case is the loss function.

Returns:

An array of weighted quantile losses. Quantiles divide a probability distribution into regions of equal probability. The distribution in this case is the loss function.

setWeightedQuantileLosses

public void setWeightedQuantileLosses(Collection<WeightedQuantileLoss> weightedQuantileLosses)

An array of weighted quantile losses. Quantiles divide a probability distribution into regions of equal probability. The distribution in this case is the loss function.

Parameters:

weightedQuantileLosses - An array of weighted quantile losses. Quantiles divide a probability distribution into regions of equal probability. The distribution in this case is the loss function.

withWeightedQuantileLosses

public Metrics withWeightedQuantileLosses(WeightedQuantileLoss... weightedQuantileLosses)

An array of weighted quantile losses. Quantiles divide a probability distribution into regions of equal probability. The distribution in this case is the loss function.

NOTE: This method appends the values to the existing list (if any). Use setWeightedQuantileLosses(java.util.Collection) or withWeightedQuantileLosses(java.util.Collection) if you want to override the existing values.

Parameters:

weightedQuantileLosses - An array of weighted quantile losses. Quantiles divide a probability distribution into regions of equal probability. The distribution in this case is the loss function.

Returns:

Returns a reference to this object so that method calls can be chained together.

withWeightedQuantileLosses

public Metrics withWeightedQuantileLosses(Collection<WeightedQuantileLoss> weightedQuantileLosses)

An array of weighted quantile losses. Quantiles divide a probability distribution into regions of equal probability. The distribution in this case is the loss function.

Parameters:

weightedQuantileLosses - An array of weighted quantile losses. Quantiles divide a probability distribution into regions of equal probability. The distribution in this case is the loss function.

Returns:

Returns a reference to this object so that method calls can be chained together.

toString

public String toString()

Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be redacted from this string using a placeholder value.

Overrides:

toString in class Object

Returns:

A string representation of this object.

See Also:

Object.toString()

equals

public boolean equals(Object obj)

Overrides:

equals in class Object

hashCode

public int hashCode()

Overrides:

hashCode in class Object

clone

public Metrics clone()

Overrides:

clone in class Object

marshall

public void marshall(ProtocolMarshaller protocolMarshaller)

Description copied from interface: StructuredPojo

Marshalls this structured data using the given ProtocolMarshaller.

Specified by:

marshall in interface StructuredPojo

Parameters:

protocolMarshaller - Implementation of ProtocolMarshaller used to marshall this object's data.